activity
20222025
most citedTightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition

11 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

StructVPR++: Distill Structural and Semantic Knowledge with Weighting Samples for Visual Place Recognition

Yanqing Shen, Sanping Zhou, Jingwen Fu +3

Visual place recognition is a challenging task for autonomous driving and robotics, which is usually considered as an image retrieval problem. A commonly used two-stage strategy in…

cs.CV2023★ 3 cited

Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers

Ruotong Wang, Hongrui Chen, Zihao Zhu +2

Deep neural networks (DNNs) can be manipulated to exhibit specific behaviors when exposed to specific trigger patterns, without affecting their performance on benign samples, dubbe…

cs.CV2022★ 1 cited

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition

Yanqing Shen, Sanping Zhou, Jingwen Fu +3

Visual place recognition (VPR) is usually considered as a specific image retrieval problem. Limited by existing training frameworks, most deep learning-based works cannot extract s…

cs.CV2022★ 11 cited

Tightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition

Y. Shen, R. Wang, W. Zuo +1

Visual place recognition (VPR) is a key issue for robotics and autonomous systems. For the trade-off between time and performance, most of methods use the coarse-to-fine hierarchic…

cs.CV2022★ 5 cited

TransVPR: Transformer-based place recognition with multi-level attention aggregation

Ruotong Wang, Yanqing Shen, Weiliang Zuo +2

Visual place recognition is a challenging task for applications such as autonomous driving navigation and mobile robot localization. Distracting elements presenting in complex scen…